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Core AI

68,645 papers (13 classified directly here)

Multimodal Learning (14,926) Large Language Models (9,515) Interpretability (8,292) Foundation Models (5,277) Agent Systems (4,710) Causal Inference (3,958) Multi-Agent Systems (3,842) AI Safety (3,602) Planning (3,482) Reasoning (3,360) Human-AI Interaction (2,465) Model Compression (2,258) Natural Language Processing (2,186) Responsible AI (2,130) Computer Vision (1,901) Game AI (1,846) Reinforcement Learning (1,698) Adversarial Learning (1,500) Autonomous Vehicles (1,488) Language (1,345) Fairness (1,279) Game Theory (1,129) Robotics (1,087) Dialogue Systems (1,066) Efficient Computing (956) Vision-Language Models (928) Knowledge Graph (735) Procedural Generation (709) Trajectory Prediction (676) Evaluation (655) Privacy (617) Natural Language Generation (573) Information Retrieval (541) Memory (526) Decision Making (480) Safety (474) Knowledge Representation (409) Knowledge (386) Information Extraction (378) Speech Processing (310) Knowledge Graphs (282) Security (256) Uncertainty Quantification (246) Representation Learning (239) Retrieval-Augmented Generation (225) Knowledge Editing (200) Question Answering (199) Attention (198) Robustness (186) Knowledge Distillation (185) Code Generation (168) Explainability (142) Brain-Computer Interface (141) Neural Networks (136) Anomaly Detection (132) Automated Reasoning (84) Natural Language Understanding (81) Multi-Lingual Learning (79) Education (64) Machine Translation (57) Learning Paradigms (57) Speech Recognition (55) Risk Management (51) Visual Question Answering (49) Communication (35) Motion Analysis (32) Natural Language Inference (29) Sentiment Analysis (19) Representation (17)
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Papers (including subtopics)

Towards Uniformly Superhuman Autonomy via Subdominance Minimization ICML 2022 Towards Unifying Reference Expression Generation and Comprehension EMNLP 2022 Towards Versatile Embodied Navigation NeurIPS 2022 Towards Video Text Visual Question Answering: Benchmark and Baseline NeurIPS 2022 To What Extent Do Natural Language Understanding Datasets Correlate to Logical Reasoning? A Method for Diagnosing Logical Reasoning. COLING 2022 ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detection ACL 2022 Tracing and Manipulating intermediate values in Neural Math Problem Solvers EMNLP 2022 Tracing Origins: Coreference-aware Machine Reading Comprehension ACL 2022 Tracking and Planning with Spatial World Models L4DC 2022 Tracking COVID-19 protest events in the United States. Shared Task 2: Event Database Replication, CASE 2022 EMNLP 2022 Tracking Down Misguiding Terms for Locating Bugs in Deep Learning-Based Software (Student Abstract) AAAI 2022 Tracking Mental Health Risks and Coping Strategies in Healthcare Workers’ Online Conversations Across the COVID-19 Pandemic NAACL 2022 Tracking Semantic Shifts in German Court Decisions with Diachronic Word Embeddings EMNLP 2022 Tractable Abstract Argumentation via Backdoor-Treewidth AAAI 2022 Tractable Function-Space Variational Inference in Bayesian Neural Networks NeurIPS 2022 Tractable Uncertainty for Structure Learning ICML 2022 Trading Complexity for Sparsity in Random Forest Explanations AAAI 2022 Trading off Utility, Informativeness, and Complexity in Emergent Communication NeurIPS 2022 TRAIL: Near-Optimal Imitation Learning with Suboptimal Data ICLR 2022 Train Flat, Then Compress: Sharpness-Aware Minimization Learns More Compressible Models EMNLP 2022 Training a Resilient Q-network against Observational Interference AAAI 2022 Training Characteristic Functions with Reinforcement Learning: XAI-methods play Connect Four ICML 2022 Training Data Generation with DOA-based Selecting and Remixing for Unsupervised Training of Deep Separation Models Interspeech 2022 Training Dynamics for Curriculum Learning: A Study on Monolingual and Cross-lingual NLU EMNLP 2022 Training Dynamics for Text Summarization Models ACL 2022